Navigating Consumer Insights, Data Analytics, and Marketing Trends

Check out the full episode below! Enjoy the Exchange? Don't forget to tune in live every Friday at 12 pm EST on the Greenbook LinkedIn, Facebook, and Youtube Channel! 

In episode 34 of The Exchange, Karen and Lenny take a deep dive into the dynamic realm of consumer insights, data analytics, and marketing trends. Their discussion traverses a plethora of captivating topics that not only shape the industry landscape but also propel innovation forward.

The dialogue commences with a heartfelt tribute to industry luminaries Hugh Davis and Keith Price, emphasizing the profound impact of personal connections and professional relationships in our field. Together, they embark on an exhilarating journey with the launch of Acquest Group, poised to disrupt data quality standards and leave an indelible mark with their wealth of experience and visionary approach. Highlighting Dana Kim's company's remarkable achievement of securing the second spot in Fast Company's esteemed list of most innovative companies for data science, the conversation underscores the industry's ongoing evolution and the recognition of pioneering methodologies driving success.

Delving deeper, they dissect the intricacies of the Paid for Your Say series, shedding light on the challenges and solutions surrounding data quality in consumer research. Their discourse underscores the paramount importance of maintaining data integrity to extract actionable insights and formulate effective marketing strategies.

The spotlight then shifts to the forefront of AI technology, where emerging trends like multimodal AI and small language models stand poised to revolutionize data synthesis, analysis, and decision-making processes. The unveiling of MediaMonks' groundbreaking AI-powered consumer insight solution, Persona Flow, promises to redefine customer data analytics and equip marketers with dynamic consumer personas. As regulatory initiatives take shape, including the proposed data broker bill aimed at safeguarding personal data from foreign adversaries, the conversation delves into the evolving landscape of data protection and privacy concerns. Here, the imperative for regulatory compliance and ethical data practices in driving industry growth and fostering consumer trust is underscored.

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Many thanks to our producer, Karley Dartouzos. 

Transcript

Lenny Murphy: And we're alive. And as always catch us in mid giggle with the show. So today friends, the pre show, the pre show was a lot of fun. The and and Karen I just recognized because I was like, oh my god, it feels like forever. Well, it has been three weeks since we have been together. So Right. And the thing is, it's like, we didn't realize how much we kind of missed this. So

Karen Lynch: We can't go that long. Again. That shouldn't happen again. But Natalie did an amazing job as per our respective standards. Of course, she did. Yes, shout out to Natalie, great.

Lenny Murphy: Earth rising superstar. So we can't let her do it too often, or else we'll be out of a job. I know. I know. Well, it's funny, because I have her cheering with me like CO chairing with me in North America. And I'm like, you're ready for the main stage there because she co chaired a lot in Europe and stuff. But every time I do that, I'm like, you know, I want the world to know who she is. Because, you know, she's, you know, a rising star in our opinion, right? But

Karen Lynch: then I think yeah, you can pretty much start doing my job any minute now.

Lenny Murphy: The tension, right? In any business, business leaders, seasoned business leaders, we're, you know, we want to groom and grow our replacements. But when you get to that point, you realize, wait, wait a minute, now. I want you to replace me, what am I gonna do?

Karen Lynch: It's a weird time. But let's just go with the fact that both of us are replaceable, right? So okay, you are irreplaceable, I am irreplaceable. And actually Natalie is too. So we're very lucky. It just makes us have to work harder to get to the next level. And that's actually a pretty good segue to the first thing we want to cover, isn't it? Irreplaceable humans in both of our lives. Yes. We'll add to that in a second without going into details. But yes, go ahead. Yeah, well, so there's two individuals that Lenny and I will get into why they're both important to us. But Hugh Davis and Keith Price launched and this was actually going back a week, but Lenny, and I didn't have a chance to talk about it. So we're sharing it today, they launched a new insights holding company. It's called a quest group. You know, these two are industry veterans, according to the press release, right. But we both know that because we've both known them for decades, which is a little frightening. If you read about this launch, it happens to be one that says it's going to disrupt all things data quality. And the thing is, I really believe these guys, right? They are, they are masters. So where do we begin with why this is important? Not just to us, let's start. Well, I mean, I guess a quick history lesson , you lived it more than I did. I mean, you know, human keys were part of Greenfield online, the first real online panel, so that was incredibly disruptive. I was there, I just had to even jump in. So he and I both went to Fairfield gret Fairfield University. I graduated a little bit before him. And you know, we worked at Vandy Greenfield when it was Greenfield Consulting Group, before Greenfield online. I was actually there when he said, Hey, I've got this great idea. I think this is where the industry is growing. He was not even 25 friends. He was a young young man who said, We need to shift this business model online. And he and he met with Andy and he was full of the vibrant energy of a young man. And that is the new Davis that I I just will always hold it in my heart. It's just this exciting. I don't know. It was just a really exciting time. Right. And then my career took me to other places. And obviously he moved on. But I mean, some of my best friends were from that time, people that I still stay in touch with. And, you know, when I then went out, I'm sorry, I'm ranting because I just adore this human being. We socialized, you know, we were going to happy hours together. We were singing karaoke. I mean, there's probably another we were at, you know, Pool Party Pool Party at my parents house that they didn't know I was having. But you know, like, I've got the goods on a young Hugh Davis, who is a rock star in terms of his success, coming up with an idea of founding a business model staying in the industry and moving in to become this incredible, you know, need I say wealthy venture capitalists like it's amazing. It's amazing. And I don't know, Keith, but you do. I do. And then, we sometimes talk about the Greenfield mafia, right.

Lenny Murphy: There were just so many people that as the industry shifted down a line, this was one of the first major companies in so influential and so impactful across the board and so many people that they've touched from a career standpoint, not just a greenfield but also in everything else that they've done over the years and helped to develop and grow and innovate. The the industry and individual companies and a lot of folks are there, they're their careers but they certainly their careers have touched and been influenced by who Davis and he's Bryce.

Karen Lynch: Yeah, I mean, myself included, Dana Stanley worked in that ecosystem as well before after me, so I left and pursued a, you know, a qual path as a moderator kind of growing my career that way. But yeah, after I left, Dana ended up there too. So it's really interesting. I mean, Andy Greenfield was a very smart and savvy successful businessman like me. I knew that again, at a young age, I was like, Oh, this man, he is smart. And that was noticeable. And of course, he was a visionary. And obviously, Keith was as well. So hats off to both of them and and if we tag them in this LinkedIn post, he will know implicitly why.

Lenny Murphy: It's important to me, and Keith Keith, well, I'll say this, there is a point and I've been public about the journey of Rockhopper and the failure of Rockhopper. After the recession and the struggle the CEO to kind of, you know, robbing Peter to pay Paul to keep people fed, just try and just hold on and get through it. And then it was Keith, who forced me to recognize that that was not viable, the path strategy that I was employing was not viable. So it was a hard lesson. It was a needed lesson. And so not hanging out doing karaoke. But...

Karen Lynch: I mean, there's so much more the free show has, you know, way more. But we'll leave it, we'll leave it at what I'm comfortable disclosing to the world at? Yes, right. Yeah. But the shout out for me for Keith is that, at the time, I didn't think I did not thank him for that lesson. Now I do and,

Lenny Murphy: and have for a very long time. So publicly, I'll say, Keith, thank you for forcing me to make a decision I didn't want to make but needed to be made. And it was a great learning experience. And that's my personal connection, while also really appreciating all of the work that they've done over the years, and driving innovation in the industry. So there we go. We'll stop. There we go. We'll stop. Let's move on. But don't underestimate them. Know what they're trying to do with as you said, I will not bet against these guys. They are smart. They know what the hell they're doing. They have a track record of success. Yeah. And they don't have an ability to look into the future and make shit happen. makes stuff happen. So that's all right. All right.

Karen Lynch: People, let's keep going until you bring up this next one. Yeah, making stuff happen. The shout out to friends highlights a previous winner of the Insight Universe competition in our very, very first podcast. Yes, yes. Dana. Yeah.

Lenny Murphy: So Fast Company just awarded them second place for data science on your list of most innovative companies. Yeah. So cool. Right. And I mean, when I look at those Fast Company lists, I'm always looking to see if there's any that I really know. And many of them are the big ones. I think they said in their LinkedIn post about this, you know, Spotify held this place at one point so like, you know, they are in very good company. So really, like, not to be condescending, but I feel proud, right? I feel proud of them. So any of the companies right? Whether or not but no for this particular company, in knowing their story, you know, startup during the pandemic, doing product testing, and the need to pivot and in the work if you haven't listened to that episode, friends, go back and find it. It's a great story about pivoting when you need to when you're trying to innovate really, really good stuff really is Karley. Actually, I don't think we put the link in there but if you can find it the link to the podcast the very first episode of Danny Kim and highlight that would be great to pop into the chat the so shout out to them. Yeah, well well deserved and also very cool for the industry. Yeah, right. When any of a rising tide floats all boats when any of our companies in our industry get that type of recognition. It just elevates us all so good job very good. All right now you know I mean, it's people are gonna get tired of me saying and yet another episode was launched right but but if you've been tracking the paid for your say series that 10,000 humans is.

Karen Lynch: Is you know, releasing week after week this this multi series a you know, similar to bot gate but this I don't even know what we call this particular gate, but it is an expo ze on this organization. This week, we tackle the elephant in the room. So, you know, Jay put together, you know, clips, he figured out a way to consolidate all these into thematic weekly launches. But this one is the elephant of the room, which is why is this such a problem? And let's talk about the credit credibility of qual and the client size, and how much they're going to trust whether the participants are who they need them to be because it's such a small sample there is not much room for error. And so we dug into that this one. So you can we were like let's just let's just talk about the reason why this is such a big problem and then we can open up to solutions. So we started to then talk about what does everybody do with this and by everybody I mean you know this the suppliers providing sample the facilities who are recruiting and you know, Isaac, from sago, you know, very articulately said like, we have to keep people from getting into our into facility databases, end of story, we just have to make sure that they don't even get in if they are like, though, the security measures have to be, you know, really in place. Long before they even get to the facility. Right. We just anyway, so it's a great episode, because it does, it talks about the hard stuff. And then it talks about some solutions, which, of course, I love. Good stuff. Absolutely. And, and go back to you know, what, Keith, you're in.

Lenny Murphy: You and Keith are doing it, right? Data quality guys, we've been harping about it, we will continue to harp about it, this is another example. It is the bedrock foundation of our industry. It is ripe, ripe for change and disruption. And we need to lean into it right now. So here's the change in speaking. There you go. I see what you did there. So I mean, right, go ahead. I mean, yeah, well, so as we move into the innovation.

Karen Lynch: portion of the program, which of course have to do with AI, because, like this just did ourselves to the fact that the innovations that are popping up are largely AI driven. It is well.

Lenny Murphy: The Bob letter by letter is a legend in industry, right. And, he has now launched an AI newsletter, the research business report. So if that tells you guys if Bob letters on board driving

Karen Lynch:  day with playful insights, and he interviewed me and he could not wrangle the fact that this was like, you know, a new way of doing qual like he just couldn't get his head around it. And so the whole conversation is me explaining it and being like, okay, but like

Lenny Murphy: Shout out to Bob love Bob, we stand on the shoulders of giants, right? But yeah, it's just it's just here. Yeah. So now. So two things a call. All right. This week, I'll talk about the first one. The quantex Ai, a million in preceding funding. Yeah. As an entrepreneur who has started companies before, that is not insignificant when you get people to give you a million bucks without a damn thing to show for it. It's a big deal. 

Karen Lynch: So in their product, here's what they say in this press release. What they say about the product is their unique approach allows users to engage in natural conversations with the AI to perform advanced forecasting and dynamic database is the brake view breakthrough technology can auto Nam autonomously. Sorry, export data within clients, private data lakes, which is they say that's a first in the market. So, I'm not sure if that is the first in the market. But because it seems like there are other people who are using, you know, using these models to get into those private data lakes, but maybe this is the first that is being seated to this level so that it could expand with Yeah, I mean, so I have not.

Lenny Murphy: We know that one of the benefits of LM is just data synthesis. But it tends to focus on unstructured data or data lakes. It's a mixture of structured and unstructured. I have only seen one or two startups that using a chat interface allows you to explore structured data, create charts, graphs, and visualize pulling things together. Basically, imagine SPSS meets Chad GPT. Yeah. And they still need some work. And we're still very focused on specific data sets. Yeah, this was certainly sounds like this is a foray we've been people have been moving towards now it's out there, unlocking that critical component of being able to synthesize from multiple datasets using a chat interface versus, you know, a GUI point and click and, and or writing code that was around for a long time, you know, needing to to write code or syntax in SPSS. So here we are, it's just going to unlock more value across the board, more usability and more utility. So it's very exciting. It is exciting and kind of jumping ahead, which I know that I can do and then we'll just skip over it later in our brief, right. Microsoft released a report so currently, it's further down in the brief, Microsoft released a report on three big AI trends to watch

Karen Lynch:  Up to this year. And one of them is that multimodal AI that you were just talking about where l. Right now all FM's can process only one data type, largely text, but multi modal models can understand information from different data types like text, images, audio and video. And that is going to trend up this year. So what's interesting is this particular launch and what you're just explaining about its significance. This is a trend that we're one of the trends that Microsoft shared that we're going to be keeping an eye on. Absolutely, absolutely. And that creates an interesting idea of

Lenny Murphy: from Microsoft to do that. Yeah. Is still mostly Microsoft driven, it's still kind of the dominant model that we use Excel and PowerPoint for, for exploring things. And it is they are incorporating that into Power BI, for instance, they already have copilot, et cetera, et cetera. Imagine utility. Yeah. And they talk in this particular trend report also about the rise of small language models. So to go against the LMS M's, right, and what they're saying is the LMS, which are trained on, you know, vast amounts of data, the smaller models use curated highly high quality training data, so, so very, very specific. And they have a few products in there also, of course, because they are launching these trends, and it's going to be self-serving for them. But that's another one. Right? So yeah, yeah, I mean, we, we really need to get the horse. Yeah, you know, that we can beat on it. I know, we keep talking about that. I'm gonna know.

Karen Lynch: Friends, if you finally email us a good link to an Amazon horse, so that Lenny, and I can just be our Dead Horse,

Lenny Murphy: horse,

Karen Lynch: you can not afford Well, there's another. I'm also going to jump ahead to another report that I was going to talk about further down in the show. But here we are, there's the VC capital firm, for runners launched their 2024 consumer trends report. There's a lot in there. So like, I think it's totally worth the download, because it talks about shifting value shifting technology, it talks about kind of where people in their respondent pool are right now and what it means. There's some good stuff in there, which we can talk about. But one of the things in the technology section that I read was, you know, we're still tracking people at the early adopter phase with up to only up to 10% adoption for generative AI. And like for us, that just takes us back every time because we are just using it right. And we are still not even an early majority for generative AI, which just like I read that and I'm like, gosh, I just can't wrangle the fact that people aren't on board yet. And that makes me realize, of course, we are just early adopters. And we are talking about it weekly, and hopefully helping people to move to adoption, but it is anyway. So that's another thing to look at in that particular trend report. It's really interesting. Yeah. Actually, let's dig that out for a minute. Because it was a topic that came up earlier today in a call. Yeah. Where, you know, somebody asked me, well, our clients aren't asking for this yet, or they're interested but still skeptical. Right.

Lenny Murphy: And I think that tracks Exactly. You know, some of the largest brands in the world have concerns around confidentiality and data, data, security, et cetera, et cetera. So there's two, it's fine to capture this thought the there's the adoption. Trend. Yep. And then there's the usage trend. And I think those are two different things. And that's what we are seeing in this number here. The adoption should be a head of usage, because we know this is going there. And the innovation is obvious. And we need to explore and utilize these tools to track where things are going to be in a few years. The usage, once we've unlocked and proven the use cases from an adoption standpoint, yeah, then the usage catches up. And it's just a transition point. Go back to what is the very beginning of human Keith with online surveys. We, we lived through that. And it took about a decade for it to become the dominant model. So it started and was ramping very quickly from that very beginning, right and the but I don't think we're gonna have a decade because the technology is just advancing too quickly, and being integrated at the enterprise level by the major tech companies like Microsoft. And you have that type of movement and shift by these companies that are tent poles of the whole damn world, which.

Karen Lynch: Reality, right? They are integral to the functioning of our planet, whether we like it or not. That's just reality. So that's where things are gonna go. Yeah, so, so beat the dead horse. Yeah, well, speaking of our planet, which I do want to go to the third trend with Microsoft report was AI in science. And it says experts are anticipating major gains in AI tools designed to speed up scientific discoveries, much of the work aimed at addressing global plot problems like climate change, energy, crisis, ease disease, etc, etc. So thank the good Lord, there are scientists out there who are adopting to try to say, okay, how can we leverage this technology to, you know, to save the planet? Or, you know, aspects of the planet that really are in need of savings? So, yeah, they're just an interesting conversation yesterday with a hedge fund that works in life sciences.

Lenny Murphy: And they ask, So is there an AI out there that synthesizes all of the information in academic journals and papers, and particularly, in Preprints, right? I mean, that whole process of going through peer review can take years. So there's, there's a preprint, particularly in life as life sciences of literally millions of papers that have not gotten to the journal yet. And so the ability for generative AI to explore that and synthesize that information, that's where that value is unlocked, there's gold out there that just hasn't, or it's just an article that just got put into some journal, and it nobody, they just kind of forgot about it, you know, it didn't get much attention. But that ability to unlock that across all the scientific and academic journals in the information they can be there, and to correlate that synthesize that for literally millions of papers that by themselves, may not have been that standout. But connected to something else becomes, oh, it unlocks so much more information. So don't underestimate those promises. That's what they're talking about. Yeah, yeah, there's, it's mining the gold. And there is literally we know the gold deposits exist. It's just but we as humans have not had the ability to necessarily synthesize those things. Technology allows that to happen. Well, and, you know, it leads us to one of the other things we wanted to talk about today is this, this report on the neuro marketing technology market, right, because one of the things that was in this particular report that you found was the integration of AI and machine learning algorithm allowing for analysis of complex neuro physiological and behavioral data, enabling more accurate predictions and insights into consumer responses to marketing stimuli. 

Karen Lynch: So, you know, like, all like the the we were biometrics was, you know, was growing, it was kind of making its way along and, you know, use cases were becoming more prolific, but now, like, compound that with AI assist, and suddenly now we are changing the neuromarketing game. So that's interesting. Absolutely. And the form, you know, the barrier for any of the neuromarketing stuff was primarily, especially the physiological components, right?

Lenny Murphy: EGS, and all that good stuff is just kind of form factor and scalability, but facial coding cameras, or, you know, cameras are ubiquitous now, eye tracking, is wearables move forward, right, having even the the, the EEG and the physiological responses, those are going to be embedded in all of that. So the the, the input, the scale, the scale challenges of the inputs are well on the way to being solved, if not have been solved. Now, to this point, the report is unlocking the value of those things, those inputs into driving better decision making, and we know it's there because it has been for years. The but it unlocks its unlock scale, which reduces cost and increases speed. So how do we integrate them to your point, you know, the information so that you can deliver the right message to the right person at the right time, regardless of what that is? Right. That is the goal of marketing. And these things are scaling up so I've always been bullish on nonconscious measurement as a category we have as a business we've been doing our behavioral i x behavior event for well, Daniels as long as we have aI x so you know over a decade Because of the value, we knew the value would be unlocked and now we're at the point where that value has been unlocked and there's serious money being paid.

Karen Lynch: Been invested in paying attention to you? Yeah, yeah. Well, what's cool about this report for anybody who's listening to this conversation and saying, you know, do I need to check that report out? If you're at all interested in this, it talks not only about these kinds of market trends, but it does go into market drivers, market opportunities, market challenges. So to me, that's where you're at all in this biometric or neuro neural marketing space? Or if it's interesting to you, like you should check this one out. It's a pretty

Lenny Murphy: useful if you're, if you're exploring, that's a usable report. Yes, now that it is one you have to pay for. So download it, huh, you got to just download it.

Karen Lynch: You're right. The link brings you to a one page summary. There was a summary and that but to get the full report is pretty good, though. The summer was pretty good. I mean, check out the summary and make a decision? Do this is one of those companies that that's how they make their money, they publish these markets. But you know what I mean, if you're dabbling, check out the summary. If you aren't in it, then you should pay for the darn report. Right. So Right. Yeah, sure. Why not? Sorry, I'm, I'm being bullish here. But connecting dots to that for runners report I was telling you, there's a section on wearables in there. And it was saying that, hold on, let me try to get this right in my head. device usage just barely, you know, consistent at this point, right. It's not like we're getting a huge increase in device usage. But wearables are catching more of that share, which is really interesting. So it does talk about wearables in that report, also. So you know, if I was doing due diligence, as a researcher, I want to check multiple sources to see where I'm putting all this information together. So if you're interested in wearables, and you know, from a neuro marketing standpoint, and some of these other biometric measures, certainly check out the consumer trends report also that we were talking about, because it does dig into wearables specifically, which again, of course, are interesting to me now that I have the aura ring.

Lenny Murphy: Let's, let's talk about medium angst for this one's all you because I couldn't access it.

Karen Lynch: Hey, well, for me or something, it's a medium is part of four.

Lenny Murphy: So someone squirrels company, ah, they've launched an AI powered consumer insight solution persona flow. And it transforms customer data instead. Dynamic consumer personas, aesthetic sample guys. Yeah. I mean, that's, that's effectively what it is. So or at least the end result is the same. Yeah, Karley, that link is not an accurate link. 

Karen Lynch: That link brings you to Dana Kim's post, just so that, you know, I just saw that you posted in there, you might want to take that one down, because it's not the right link. And that's part of why I had a problem with it is because the link, the link that Lenny shared in the original thing brings me up to a paywall. So we had some troubles, we had to find a better link for our audience for that particular article. Okay, we'll find a better link.

Lenny Murphy: But just another example of doing that, then, do we want to just dive into the end or regulatory actions? The thing is now

Karen Lynch: I'm laughing only because Natalie and I did talk last week about Tik Tok because we're like, we have to talk about everybody who was talking about Tik Tok last week, right. So you know, we kind of touched on this. But again, if you didn't pay if you didn't tune in last week, You know, that Tik Tok issue isn't isn't going to rest anytime soon. There are small businesses who don't don't do that. To me, economically, that is not going to be a movie that's going to keep you popular with small businesses. So you know, we're just talking about this potential Tik Tok ban. So we started that conversation last week. If you want to have a listen to last week's episode, you'll get more than that. But the other one, I think is really interesting, especially when it comes to wearables, and personal data. So did you internalize that one about the Data Broker bill? Yeah, I mean, we've been, it's the slow move here in the US primarily to data protection. So the house Data Broker Bill limits sales of personal data,

Lenny Murphy: particularly to foreign adversaries. So there's this political component, and we could have a whole other conversation about that. We'll set that aside. Who's an adversary who's not Yeah, who's in the White House. And it's control that can change. Let's recognize that. But at least at the governmental level, here in the US, there's a recognition that data, data matters, and doing some things to put some walls around that.

Karen Lynch: And that's a good thing. It's been politicized in a variety of ways. So you will end on that note, because we have a couple shout outs to do right and we're minutes. So, Listen, friends, we are less than a month away from IIEX North America in Austin. I actually cannot believe it. Still time to get your ticket, though. As a reminder, I think it's in there right at the bottom. Yeah, you can still use the code exchange. If you haven't gotten your ticket. You need to be there. I mean, you know, ticket sales are. We're kind of going up exponentially at this point. This is our sweet spot for attendees. You know, we've already have we already have, I mean, like hundreds and hundreds and hundreds we're well, we're well on our way to 1000. We'll be at over 1000 Probably registered for this event as we tend to be every year. The agenda is amazing. I mean, some amazing keynote speakers at this point. I've got somebody from the NBA coming that I'll be doing a fireside chat with. I'll be chatting with some friends at Bose talking about actually studying sound, which I can't wait, because anyway, I'm just geeking out on stuff like that. So just really good stuff is coming. Please get yourself to North America and Latin. Yeah. Our call for speakers is still open. That event is happening next September in Miami. So it seems like it's still a ways off. But we are working on that as well. And there's a code for that as well, I think. That code works for all of our events, probably so.

Lenny Murphy: and the first time IIEX LATAM in the United States. It's been in Mexico through central America throughout South America. So this is the first time it’s here. If you want to attend that event, understand the innovation and research within Latin America overall. We made it really easy for you. And that's a really great event reminder. The very first IIEX was in Brazil. So, we have always had a great relationship with our friends in Latin America so it's exciting to bring that event there to make it easier for people to attend. Here in the U.S it's gonna be a great event. Miami in September is not a bad place to be 

Karen Lynch: It's not it better than Miami in March apparently.

Lenny Murphy: Or Miami in July, not my favorite place.

Karen Lynch: I have these college age kids. I was all about what's happening in Florida. The one child that went to Florida is down in the panhandle not in Miami.

Lenny Murphy: That's such a great time, Karen. As always thank you to our listeners, thank you Karley. And we'll talk next week!

Karen Lynch: Yea, bye everybody have a great weekend!

Links from the episode:

Davis and Price Launch New Insights Holding Company

Fast Company Most Innovative Companies - Dana Kim

Episode 3 - Paid for Your Say Series

QuantexAI Secures $1M Pre-Seed Funding

3 Big AI Trends to Watch in 2024 by Microsoft

Forerunner's 2024 Consumer Trend Report

Neuromarketing Technology Market Booming

Small Businesses Concerned Over Potential TikTok Ban

House Data Broker Bill to Limit Sale of Personal Data